Automatic liver segmentation in computed tomography using general-purpose shape modeling methods

Biomedical Engineering Online
Dominik Spinczyk, Agata Krasoń

Abstract

Liver segmentation in computed tomography is required in many clinical applications. The segmentation methods used can be classified according to a number of criteria. One important criterion for method selection is the shape representation of the segmented organ. The aim of the work is automatic liver segmentation using general purpose shape modeling methods. As part of the research, methods based on shape information at various levels of advancement were used. The single atlas based segmentation method was used as the simplest shape-based method. This method is derived from a single atlas using the deformable free-form deformation of the control point curves. Subsequently, the classic and modified Active Shape Model (ASM) was used, using medium body shape models. As the most advanced and main method generalized statistical shape models, Gaussian Process Morphable Models was used, which are based on multi-dimensional Gaussian distributions of the shape deformation field. Mutual information and sum os square distance were used as similarity measures. The poorest results were obtained for the single atlas method. For the ASM method in 10 analyzed cases for seven test images, the Dice coefficient was above 55[Formula: see text], ...Continue Reading

References

Dec 11, 2002·IEEE Transactions on Medical Imaging·Bram van GinnekenMax A Viergever
Aug 7, 2014·Wideochirurgia i inne techniki mało inwazyjne = Videosurgery and other miniinvasive techniques·Dominik Spinczyk
Sep 12, 2015·Computer Aided Surgery : Official Journal of the International Society for Computer Aided Surgery·Dominik Spinczyk
Feb 25, 2017·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Sylwester Fabian, Dominik Spinczyk

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Citations

Jul 21, 2020·International Journal for Numerical Methods in Biomedical Engineering·M J M M HoeijmakersF N Van de Vosse
Apr 1, 2021·Abdominal Radiology·Bradley SpielerKhaled M Elsayes

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Software Mentioned

GPMM

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